Innovative Methods for Assessing the Impact of Environmental Contaminants on Wildlife Health and Population Dynamics

Abstract

The growing vulnerability of wildlife to environmental pollutants, e.g., heavy metals, pesticides, and endocrine-disrupting chemicals, poses a massive threat to their health and population health. Conventional ways of measuring these effects, including biomonitoring and lab work, are limited by breadth, sensitivity, and suitability for longer-term situations. This paper examines new assessment methods to provide more accurate, real-time, and high-scale information on the impact of contaminants on wildlife. Wildlife health and behavior were studied in a natural environment using advanced technologies, including environmental DNA (eDNA), wearable biologgers, and remote sensing. These techniques provide continuous information on exposure to pollutants and the impacts of that exposure, including minor, sub-lethal effects that conventional methods may overlook. The paper compares the outcomes of these innovative approaches with those obtained with traditional techniques and identifies their benefits in terms of accuracy and applicability. These findings imply that emerging technologies offer a more holistic, scalable approach to wildlife monitoring, enabling more effective conservation strategies. This study will be of great help in improving biodiversity protection by enhancing our understanding of contaminants' impacts on wildlife populations, thereby facilitating better ecosystem management. The paper ends with suggestions on how the innovative approaches should be used in the future and what research should be conducted further.